{"id":"W4389941531","doi":"10.1080/07391102.2023.2295382","title":"Machine learning and experimental screening of chromatin regulator signatures and potential drugs in hepatitis B related hepatocellular carcinoma","year":2023,"lang":"en","type":"article","venue":"Journal of Biomolecular Structure and Dynamics","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Hepatocellular carcinoma; Regulator; Chromatin; Cancer research; Medicine; Chemistry; Computational biology; Pharmacology; Biology; Biochemistry; DNA","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007739703,0.0002999991,0.0004504375,0.000919216,0.0001990001,0.0003596557,0.0002233746,0.0002592349,0.00123513],"category_scores_gemma":[0.00125413,0.000111407,0.0005922559,0.0005960902,0.0002172795,0.0002592608,0.0001593922,0.0002298744,0.0001610146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002786806,"about_ca_system_score_gemma":0.0003783076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007990752,"about_ca_topic_score_gemma":0.0007203175,"domain_scores_codex":[0.9997488,0.00008195522,0.00002291464,0.00006054963,0.00005879629,0.00002708298],"domain_scores_gemma":[0.999563,0.0002410814,0.00008736645,0.00003563398,0.0000494164,0.00002348514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003317778,0.001882878,0.299314,0.001598834,0.0006663123,0.0007973065,0.0001468628,0.07981667,0.3162062,0.002851357,0.001728243,0.2916735],"study_design_scores_gemma":[0.0001782024,0.002311948,0.2181941,0.00006221772,0.0007069835,0.001044421,0.0001661261,0.6018204,0.1666206,0.003727331,0.0050915,0.0000760226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700576,0.004675469,0.02139962,0.0002490519,0.00003336888,0.0001391641,0.0009471745,0.0003053948,0.002193158],"genre_scores_gemma":[0.9903916,0.0009550415,0.007228211,0.00005691881,0.0000189814,0.00006468861,0.0008354437,0.000006195179,0.0004429028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00123513,"threshold_uncertainty_score":0.004131913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002786725331480483,"score_gpt":0.2090040709893476,"score_spread":0.2062173456578671,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}